Finance shouldn't be this hard to run.
You invested in an ERP.
You added finance tools.
You automated parts of the process.
You hired more people.
And every new acquisition, entity, market or transaction makes the problem worse. Now there is another mandate: do more with AI.
But adding more technology to an already fragmented finance operation isn't necessarily transformation. Sometimes it just creates another system your people have to manage.
Before you automate more, understand why finance is still working this hard.
- 01Closing late
- 02Reconciling accounts manually
- 03Downloading and uploading files between systems
- 04Chasing approvals
- 05Maintaining critical spreadsheets
- 06Correcting transactions downstream
- 07Producing manual journals
- 08Struggling to get one view of cash, spend or performance
- 09Adding headcount without getting much more capacity
You may not have a technology problem.
Most finance functions were never deliberately designed as one system. They evolved.
- 01An ERP was implemented.
- 02Then procurement needed something.
- 03Treasury added banking platforms.
- 04FP&A built planning models.
- 05Expenses got another application.
- 06The business added entities.
- 07Someone created a spreadsheet to bridge a gap.
- 08Another team created a manual reconciliation.
Eventually you have perfectly reasonable solutions individually that don't work particularly well together. And your people become the integration layer.
Again and again.
“Which technology should you buy?”
“Why is this work necessary in the first place?”
Finance transformation starts with diagnosis.
is not necessarily a close problem.
may actually begin upstream.
may start with procurement.
may originate in contracting, billing or customer master data.
may be a chart-of-accounts or data architecture problem.
may simply be people compensating for disconnected systems.
If we solve the symptom without understanding the cause, one part of the process becomes faster — and the end-to-end process doesn't.
Every project reports an efficiency. Finance doesn't feel more efficient. We look at the whole system.
- Invoice capture gets automated, but matching remains manual.
- Matching improves, but approvals still sit in inboxes.
- Payments are automated, but reconciliation remains disconnected.
We assess finance across processes, systems, data, controls, people and automation.
Not only to understand where the problems are, but how they connect.
We start with the operating reality.
Stakeholder interviews, process walkthroughs, system reviews, data analysis and documentation review — to understand how finance actually works today.
- Where is the pain?
- Where is the manual effort?
- Where are the spreadsheets?
- Where are the workarounds?
- Where are the control issues?
- Where is finance spending time it shouldn't be?
We map the finance environment end to end.
The objective is to make the hidden finance operating model visible.
- Processes
- Systems
- Data flows
- Controls
- Roles and handoffs
- Integrations and manual interventions
Then we ask why.
We trace symptoms back to their root causes, because each cause requires a very different solution.
- Process problems
- Technology problems
- Data problems
- Control problems
- Integration problems
- Ownership and capacity problems
Not everything needs to be transformed.
And certainly not everything needs another tool. We separate immediate improvements from structural transformation.
- Impact
- Risk
- Effort
- Cost
- Dependencies
- Readiness
Then we design the future state.
Technology follows the operating model. Not the other way around.
- How should the process work?
- What belongs in the ERP — and what belongs outside it?
- Where should systems integrate?
- What should be automated?
- What controls are required?
- Where is human judgment necessary — and where could AI operate?
An executable transformation roadmap.
Clear priorities. Clear dependencies. Clear ownership. Clear outcomes.
- 90 days — immediate improvements and foundational changes
- 180 days — process redesign, systems, controls and automation
- 365 days — structural transformation and future-state capabilities
Immediate improvements and foundational changes.
Process redesign, systems, controls and automation.
Structural transformation and future-state capabilities.
Implementation and transformation support can continue through execution.
We work across the finance operating model, not one isolated project at a time.
Procure-to-Pay
- Supplier onboarding
- Procurement
- Purchase orders
- Receiving
- Invoice processing
- Three-way matching
- Accounts payable
- Approvals
- Payments
- Supplier reconciliation
Order-to-Cash
- Customer onboarding
- Contract-to-billing
- Invoicing
- Credit
- Accounts receivable
- Collections
- Cash application
- Deductions
- Customer reconciliation
Record-to-Report
- General ledger
- Journals
- Account reconciliations
- Intercompany
- Fixed assets
- Close management
- Consolidation
- Financial reporting
- Audit readiness
Treasury & Cash
- Banking
- Cash visibility
- Bank reconciliation
- Payments
- Liquidity
- Cash forecasting
- FX
- Money movement
Finance Technology & Architecture
- ERP
- Finance applications
- System integrations
- Master data
- Finance workflows
- Reporting architecture
- Technology selection
- Implementation readiness
Controls & Governance
- Financial controls
- Approval design
- Segregation of duties
- System controls
- Exception management
- Evidence and audit trails
- Governance
AI & Automation
- Process automation
- Reconciliation automation
- Intelligent exception management
- AI-assisted accounting
- Agentic workflows
- Digital worker controls
- AI governance
- Post-AI controllership
Let's find out whether the ERP is actually the problem.
Sometimes it is. Sometimes the ERP is poorly configured.
Sometimes the implementation never reflected the finance operating model. Sometimes the organization has outgrown it.
But sometimes the ERP is doing exactly what it was designed to do — and the fragmentation is happening around it.
- What should stay.
- What should change.
- What should integrate.
- What should be automated.
- What should be replaced.
- And what you don't need to spend money fixing.
AI-ready finance starts before AI.
There is enormous pressure on finance leaders to develop an AI strategy. But the question isn't simply: “Where can we put AI?”
The better question is: “Which parts of finance are ready for machines to execute?”
If processes are inconsistent, master data is unreliable, ownership is unclear and controls depend on manual intervention, AI inherits those problems.
The goal is not to put AI everywhere. It is to build a finance function capable of using it responsibly.
- What can be automated today?
- What needs redesign first?
- What requires human judgment?
- Where can AI assist?
- Where could an agent eventually execute?
- What controls should surround that digital worker?
What better finance should look like.
Finance transformation should create measurable operating improvement.
Less manual work
Fewer downloads, uploads, reconciliations and repetitive activities.
Faster close
Problems addressed upstream rather than discovered during month-end.
Better visibility
Finance information available without assembling it manually.
Stronger controls
Controls designed into processes and systems rather than added afterward.
Scalable operations
Transaction volume and entity growth without proportional increases in finance headcount.
Better use of technology
A connected finance architecture rather than another collection of tools.
Greater automation readiness
Processes and controls designed so automation and AI can be introduced safely.
More finance capacity spent understanding the business, and less spent making the finance function work.
A consultation may make sense if any of these sound familiar.
- Your ERP is live, but finance is still highly manual.
- Your close takes too long.
- Your team relies heavily on spreadsheets.
- You keep adding finance headcount as the business grows.
- You have several finance systems that don't work well together.
- You are considering replacing or implementing an ERP.
- Previous transformation projects haven't delivered the expected efficiency.
- You don't know what to automate first.
- Leadership is asking what AI should mean for finance.
- You know something isn't working, but you're not yet sure where the real problem sits.
You don't need to know the solution before speaking to us. Finding the right problem is part of the work.
You don't need another transformation pitch.
Tell us what's happening.
What's taking too long.
What's still manual.
What your team keeps complaining about.
What you've already tried.
And what you need finance to become.
We'll start there.
Think in systems, not silos.
Find the right problem before you fund the next solution.
We assess finance across processes, systems, data, controls, people and automation — then hand you a prioritized, executable roadmap.